Results on t-SNE visualization. The t-SNE visualization [1]} of embedding space on CIFAR100-LT test set is plotted in Figure REF . We selected 9 classes and their class legends are listed from head (top) to tail (bottom). Compared with baseline TDE [2]}, feature embedding of xERM\(_{\!T\!D\!E}\)  is more compact and better separated, e.g., “television” and “wardrobe” are overlapped in the feature embedding space of TDE (cf. Figure REF  (a)), but they are more separable in the feature embedding space of xERM\(_{\!T\!D\!E}\)  (cf. Figure REF  (b)).
